{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FormatStrFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# y1 = [56.10, 59.63, 62.94, 64.87, 70.87, 71.85, 72.38, 72.71, 72.91, 72.96, 73.12, 73.22,73.28, 73.35]\n",
    "y1 = [56.10, 59.63, 62.94, 64.87, 70.87, 73.35]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# y2 = [17.42, 28.99,   43.155, 53.35, 67.81, 70.21, 71.14, 71.81, 72.00, 72.39, 72.50, 72.78, 73.03, 73.13]\n",
    "y2 = [25.32, 35.99, 48.16, 53.35, 67.81, 73.13]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y3 = [42.37, 50.00, 55.47, 57.28, 68.11, 72.78]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y4 = [58.66,62.50, 66.88, 68.45, 74.94, 77.42]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# x = [ 0.1,0.2, 0.6, 1,10,20,30,40,50,60,70,80,90,100]\n",
    "x = [ 0.1,0.2, 0.6, 1,10, 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1yzzTbqaq2EFJnh29fv7cVBRVoS/SPygumWmz7nAvKXXiay46dBTZCkaJTLG9EKM++y1E\np9NTWPduov4T6PUecss2Y3XVo5uCqTNVVYlFtejF743i94Txdnvx9QUJBBKE46COqSITu+UZU1Hs\nSoQcs4Izx4gr305uaS551aXkVpdiNE88EUEwNkJ8BPMCRVU43H+MgZ5+8vUFrChYig4dvb6oFsX0\nBGhLOwJM2m6mcGQ0U1XswGGbPzcXRVXwRL2DC/4dwW66Ql10hXtIKBOvIQIosOZr4jJMaErsxZgn\nkfU1HJ1Oj8295JyyFFNJhYA/qomLN4LfG8HXF8TfHyQQTJI9Z+HsXxB0agpbIohNCZFjVnE6TLjz\nc3CX5ZFfXYqjqhy91Tqp8QomhxAfwZxHURV+dOAX9IY8lFpqOel7mVTsWSLH1hCNTzyacaftZiqH\nRTOl+fPHbkZVVbwxnzZdlhaazmA3neFu4pOsgcm1uCnPSQuMo5TytMhYjZYpHbOiqBxs6qf/zQ4K\nHGZW1xUMRo+qqhIJxfH7hguMFsX4B0KEwufn6GJOhjWBSQXJMSk4nWbcBTm4ywtwV5VjLSvD4HKL\nKbJZQoiPYM4RT6Ro7Q1yuitAc1eARp+M19FO7MhlnFb1oLsYy/JXSNi7IF486vcNeh1lg3YzQ9GM\na57Yzaiqij8eHBKYUJcWzYS7iSQn53LiMjuHRCYtNGU5xdiMtrP/8nmiKCo/eOQgHQNh8gvtdHcG\ncOr1XFLoIOCLEvBGSCbPveJHrySxJQLYkgFsiSB2YxKXy4y7wIm7LB97RTnmklJMhYXojOJWN9cQ\nn4hgVjlTaJo7A3T0hUY4ARjLe8BXAGo6QlH1pHwF6O0B7LGKUWszZQXzx24mGA9p4jIshbkz2E0o\nGZ7UdRymnLTAlI6YNssx2adp5NlRFJXudh8797ZyrMNH0bJ8FG8cx5Jcug/3c+BkP3kTmBpDVbEk\nQ9iSQU1kEgFsxDSBKXLhKC3EUlaGuWQt5tIS9NbpF1TB1CHERzBjjBCaTk1szhSasVDCLkwVJ8gP\nW1laXUCBy8jryn5uqrmeyypXzYtpk3AiMhTFZIQm2EUgEZzUdWxGW3rBf6TQOM2OaRr5xEjEk7Se\n8tB8op/TJ/qJRhKcthkwu82U7utDp4JbB74SK35fgryINqVmSMWxJwJY09GLLRHAlgrhdJpwFbmx\nlZZgKi3DXHIR5tJSDO7cefF5C86OEB/BlJBJCGgLdFDpLKfB1UB7b5jmrsBgVDMRoclQkm+nttRJ\nbamT6pKLeGEgTKDkNSqqVvFG6yHKrPlcWrlyzt2IoskonaGeoSgmLTSZqv+JYjGYh8QlIzSOEtxm\n15x5z6FAjNMn+znV2Ed7s4dUauRna3SaiA/E0KUS5EV7sSQCHDEsptAWZEPrLhw2HfaiAixVpZhK\nSgcFxlRYJKbJLgCEt5vgvEkqKX7wxoP0hT1Yo6X0Kq3Ew2bijWuZSObRcKHRxMaJzTLy5pMRN4/S\nT146220mqt2zEU/F6RoUmSFrmYGzVP2fiUlvoiyneFBoMlNn+da59w1fVVUGekM0N/bRfKKfns7s\n2WvmZBi9I8w+cxE5fX2syFWRU26CTjv/fFUJq6rLMdhnfkpQMDmEt5tgTqGqWsHm0dMejjZ7OOI5\nRrKwi9iRy7R1GV0ZluWvoM/tRfGOTAgoybezqNRJzThCMxZ6nZ5Vhctn3Fg0oSTpHkNk+s+x6j8j\nLplopsCWN6siejZSKYXOVt+g4AR82RMecmIeikItFIZaccX6MJVXkLrpDrrChXhVAzaDSkOli9UN\n5fPO/UEw9QjxEUwITyDG0dMDHD3t4dhpD/3DnAGM5QNjJgS4CqIsLS+ZtNDMBiklRU+kb5R/WW+k\nf/JV//aitLgMCU1huup/PhCLJmlp6qf5RD8tJ/uJZ+meqlMVciPdFIZaKAq1YksGwWDAefEG3Jv/\nBVvDEj4IHPeF8OnArcISd44QHgEgxEeQhWAkwbHTHi26Oe2hayB79pUSdmGpOslFOQXUV+RRVWLn\nr10HuXXxJlYVLp/BUZ8dRVXozVT9D/Mv6wn3Tb7q314wLIrRhOZsVf9zlYAvOhjddLR4UbI4dRuV\nBPmhNopCLRSE2zEpWn2RqbAI96atuK68GqPLNXi+Dlia65hzrTAEs8/8+ysRTAuRWJLGNu/gVFpr\nT3DcSSWr2YBUlcuymjyWVF/MU92P4IttJ1og8Vi3TL7NzYqCpTM2/jNRVIWBqGeErUxnqJuucA/J\nSVb9F1rzKXOUDFuXKaXUXjSpXi9zDVVV6esOcup4H80n+ujvCWU916aLU+A9SWGwhbxIN/qMT7VO\nR86ateRu3oJ9+Up0U9xLRrCwEeJzgZJIpjjR7h+cRjvV6R+3L43RoKeh0s2ymjyW1eRRW+bEMOxm\n8+GSD6Sz3Tq5ue6GKU8IOLMjZsYjTFVVPDHvKP+yrlA3cWXiDd0A8iy5aZEpGSzMLM0pwWKYH8Wp\nZyOVVGg7nUmH7iMUyO6KkGdLkT9wgoJeGUd8YETaiMGdi3vjJtxXb8SUXzD9AxcsSIT4XCCkFIXm\nrgDHTns40uzhRLtv3LYBep2OReXOtNjkU1/hwjSOFXwmIWA6ptky7sjxuBfVWUp44GVCKryQMNER\n6iWamlzVv9vsHExdzghNaU4JNuPC8/KKRhKcPtFP84k+Wk95SMTHnlrUG3SUFZooDJzGcexlrPHR\nU2T2ZStwb96C46I1IhVacN6I/0ELFEVVae8NDUY2cquHSJaF4wxVxY7ByGZJVe6sJwd4ol4avU30\n9x+gJNrGg74ASmfTYEdMXTRONJX9PWWq/odMMmev6n8m8XnCnDquCU5Xm49s1RQWq5HqWjfF8W7s\nh3aiyK2jztHn5OC+8mrcmzZjLimd5pELLiSE+CwQzkx/PtbiIRAef9qpJN8+KDZLq3Nx2mdveklV\nVfqjHhq9TZzwNnHC00RfdACAK6wm/OhGdcQsNug5mUhhT1f9DzfJLMuZ/ar/mUJRVHo6/DSf6KO5\nsR9Pf/bkEFeulUUNhZQ74piP7CH07Kuo8ThnxsDWxfXkbt6CY/0G9KaFMe0omFsI8ZnHDE9/Pnra\nc9bGaHlOC8tr8liaFpx81+xNM6mqSm+kj0ZvE42eU5zwNuGJecc8tzulcJXVzCsxAzV5VRSbC1mb\nbIP8tdxStG5OVf3PFIlEirZTHppP9HH6RD+Rcb5olFS4qK0voKbGhaHxAL4Xf03sdDNnrvjoLFZc\nl19B7qbNWKqqp/cNCC54hPjMIyaT/gzgsJlYWpPH8rTYFOfZZu0mraoq3eGetNho0Y1vjHWF4Zj0\nJha5a2hw11IUb+X/dyQpLFtOf9dRjDnlFFZsmpLGZPOFcDBG88l+mhv7aWv2kMqyZmc06qmszaO2\noZCa+gIM3l58O1/A89uXUSKRUedbqqpwb74G16WXCXNOwYwhxGcOk0l/PtKsrdtMJv15aU0elcWO\nGSvoy2SjxSNdmG2lmJ11dIV7afQ0DU6lBRPZ03kBzAYzi9211OfW0ZBbR42rcrBmJnP9qe6IOZdR\nVRVPX3hwOq27I7sdlM1uoqa+gEUNhVTU5mFAIbjvDfp/+BCR4/Ko83VGI84Nl+LevAVr3eILLnIU\nzD7nJD6SJBmBQiAPiADtsixPLq9VMIqpTn+eKVRVobfpD0RjA3h0Oeg7X2YgGeOPgdD4Ymmwsji3\nlobcOupz66h2VmR1ATifjpjzCUVJ29mc6Ke5sQ//OF1Z8wrt1DYUUltfQEm5NvWY6O3F++if8e/e\nRSow+t/JVFJC7qYtuK64CoPjwlgTE8xNJiw+kiRdCvwDsBlYyUjHSEWSJBl4FvidLMt7p3KQC42M\nSWaLvx1zMo9obz7HWnxTnv48XSSUJJ3BLloD7bQE20kFTiER4Jf+MAoMZqPVmQycHNbr2G60paOa\nRdTn1VHpKJ/TvmYzRTyWpPXUAM2N/Zw+2U8sOnYRrE4HZVW51NYXUNtQgDtPy9pTUylCB97Eu+MF\nwoffYlR6m16PY+06cjdfg01aKopBBXOCs4qPJElvAz4PXI4mOAPAy0AfEAJy0aKgZcC/AZ+SJGkX\n8L9lWX5umsY9b4nGE/z33p/TG/IQ7c9DcfSixi3ET69jLAfo2U5/jqfitAc7aQ20a2ITaKcj1DXC\n7+wKq4mmMbLRKk1WnOkptIa8OspySoTYpAn6o4PRTfvp7HY2JrOB6rp8ausLqF5cgNU25KqQ9Hrw\n7XoR34s7SXoGRv2uMS9/sBjUmJs3be9FIDgXst7JJEkqAf4v8A5gN/Bx4BlZlk9lOV8HrAJuBP4Z\neFqSpL8Bd8uy3DXF455XKKrK8RYvew538XrHIZSS3mEO0ItHOEBn0p+X1+QhzXD6czQZpS3YSUug\nbVBsukI9Z3VvzmSjvaW6WeSupSG3lhr/AQrLr8WeK83Q6Oc2GTubjOD0dWdvIpfjtFDbUEBtfSEV\n1bkYhnVlVRWF8LGj+HZuJ7h/HyhnRMo6HfYVK8ndfA05q1ajM8wPM1PBhcd4X6OPoYnOOlmW3zzb\nhWRZVoGD6ce3JEm6Evg6cATIP9vvS5L0XuBTaFN6vvRrf16W5eNnnPd+4B5gCeABHga+LMvy5FpC\nzgBtvUH2HO7ilcPdeAJaGrSx3DvCATrPYcNtrqFkjZU7ll8xY+nP4USYlrTAtAbaaQ220xvun3Cb\ngEJrPlWuSqodFVQ5ysj1vs7HkmFsrlIi/sMYLfnY3A3T/C7mNqmkQkerd9CwMzhOKnxhiSM9nVZI\nYYljVAJAKhjEt3sXvhd3kOjuHvX7BqcTV6YYtKh41HGBYK4xnvi8S5blbed6YVmWdwPXSpJ0w9nO\nlSTp34EvAI1o0VYFcAdwjSRJ62RZbk6f9zngPjSB+wFapHUPcJkkSZtlWc5uVjVDeAIxXj3SzSuH\nu2jpGa2HStiFrbqJm6qruHxFOUW5Fr79xl6uqLt42oQnEA+OFJpAO/3R0dM0Y6FDR7G9iCpnOVXO\nCqqdFVQ6yrGf4RKgFiwZzHa7ULLRxiIaSdDSNEBzYx8tTQPZ7Wz0Oipqcqmt19Khne7Rn72qqkSb\nTuLd8QLBva+hJkevBdmWSLg3bcGx7mL0pvlrdCq48MgqPucjPGdc59nxjkuSdAnamtJOYKssy5H0\n/j8DfwS+DHxQkqQatEhqD7Apk10nSdLXgS8BdwP3T8WYJ0sklmTf8V72HO7iaLNnzNjBYTOxYVkx\nly1fy/P9f+V47G8YvBJHT8rkWqfGAVpVVXxx/+DaTEZoJtrCWa/TU2ovpspZMfiodJRjNVrO+ruZ\nbDSbe8n5vo15h98bSbtD99PZ6s1qZ2O2GKmpz6e2vpDqunzMWdbvlGgE/yt78O3cTqx1DMsbmw3X\n5Vfi3rQFS0XFVL4VgWDGmAt1Ph9Pb+/OCE+aPwM/AVoyx9HGe98Zad33oU3XfYgZFJ9kSuFI8wB7\nDnez/3gv8TGy1IwGPWsbCrl8RSkr6/IxGrRIYHHF+TtAq6rKQNQzlAgQbKfV304gMbHZR4POQLmj\nlCpHBdUuTWjKc8owz+M2ATOFqqr0dAY41dhHc2Mfnr7sxb5Ot2ZnU9tQQGmlG4Mh++cca23Fu+MF\n/K/sQY2NTrG21NSSu3kLzksuQ285+xcCgWAuc87iI0nSPwMfAxYDKnAc+J4sy3+Y5KW2AofOXNtJ\nryF9eNiujentjjPOi0qStAe4UZIktyzLE/uafw6oqkpzV4A9b3Xx6tHuMb3TdIBUncvlK0q5WCrG\nbh39TzxZB2hFVeiL9KeFpmMwISCcHF2tPhYmvZFKR/mIiKYsp2ReNj2bLZKJFG3NWjuC5hN9RELZ\ny9qKy53U1heyqKGQvEL7uAWcSiJO8PW9eHdsJ3ryxKjjOrMZ5yWXkrv5Gqy1i6bkvQgEc4FzLTL9\nBnAv8DiwDbAClwG/lSRpkSzL35zgdYqBIuB5SZKWokUx16Ddw58F/tew7LrFQHeWxILm9HYJMOU1\nRj3eCK8c7mLP4W66s1jaVBTlcMWKUi5dXnJeazeKqtAd7qXF30ZrUItq2gIdRFPj+7ZlsBjMVDq0\ntZmM0JTYi+ZNC+e5RDgUH2xH0HbKQzJLDZbBqKeyJo/aJQXULC4gx3H2qCTe3YVv5w58u3ehhEY7\nP5jLynE2yVHYAAAgAElEQVRv2oLriisw2HPO+70IBHONc/3q+0ngX2VZ/tHwnZIkPYZW6zMh8QHK\n09sK4DXgBPBzYCnwLmCjJEmXyLJ8GigAxkzzRsuOA3BP+B2chWAkwd5jPew53MWJtrGDqVyHmcuW\nl3L5ylKqiideLZ6xiomGOwjorLSl9LQGOzShCXaQmGATNJvRlhaYci3rzFVJka1A1NKcI6qq4h0I\n09yopUN3tWe3s7HaTVp2Wn0hlbV5mMxnF3c1mSR4YD++HTsIHz08+gSDAee6i3FvvgbbEklY3ggW\nNOPV+fwR+JIsy8fGOGxFS3M+kwFgMs6Ema90G4FfAh+UZTmVfv1PAt8H/hut1sgEZPv6n9k/bsiR\nl2fHOMwRoKjIOeJ4PJFi79Futr/eyhvHukmmRq8c2ywGrlhdzpZ1VaysL8Sgn9wNoifYS+P+B4lG\nPMjRKDVGHRFFZVcoOm6Ss9PioC6vmkV5VdTlVVOXV01RTsEFeYM683M7H5SUQmuzB/lwF8cPdzPQ\nl91/rrDYwZIVpUgrSqioyUM/wc8+1ttH93PP0/Xs8yQ8o/9sLMVFlN54A8XXXYM5N/ec38tcZyo/\nN8HMMV2f23iRTwVwSJKk3wFfOaO49BHgfyRJuhgtWjGiTbv9I/DjSbx+Zh4jBdyTEZ40P0SLom6W\nJMmO5iGXreIyM88xrnOlxzNyyqy3N4CiqjS2agWge4/1EomNTmfV63SsrMvn8hWlrGkoxGLSBGyg\nf2KL+/2RAfb3HmJfz0GMkQ6uspr5VSCS1YrGbXZpSQCOoamzXIt7pNBEoC8y50qbpp2p8HZLxJO0\nNGntCFpO9hONZLezKa1wa/5pDQXk5g+ll/ef5bNXFYXwkbfw7thO6MCboy1vdDpyVl+Ee9MWclau\nQqfX40sAC9S3bqF78i1UMp/bdAjQeKnWV0iSdAtaevMxSZIeAr4hy3IbcBfw1fQ2U0DqQYtSPjeJ\n18/MZzXLsjyi8ESWZUWSpINAHVCdvn62abXM/rMmGwy3hfnxjhdoPGJmwD92eVBduYvLV5SyYWkx\nrpzJOQ30RfrZ36MJTkugbXD/FVYTpxKpQdXNs+YRNtnZ6HBzY/FlVDoqcFvEN8SpJhiIcTrtDt12\n2oMyRlQLYDTp03Y2hVQvzsc2SYeJZMCP/6Vd+HbuINHXO+q4we3GffVG3FdvxlRQcE7vRSBYCIy7\n5iPL8hPAE5IkvRtNbBolSfoJmm/bvcC9kiTlA0ZZlnvO4fWb0KKebH/hmbzfMFo23SZJkmxnpGQD\nLEKLohrHezFFVfjh/gcHn78ZeBm1xAL+IV+1olwrl68o5bIVpZTmT67dcm+4n/09B9nXe5DWQPuY\n5/SkVK51OKiquYVVRStxmGx0yQ+QW3bFBVkjM12oqkp/T2iwHUFvV/Zv3TkOMzVpd+iKmtwRU7MT\nfa1I43F8O7YT3Pf62MWgS5eRu/kaHGvWojOKLEOBYEJ/BbIsPyxJ0p+A96MVfd4lSdL9wH+eGbFM\nhnSa9OvApZIk1cuyPJhrmm7bcBHQD7QDLwFbgKvRMuEy52Uy7Q7LsjxuXH+4/xgdvv7B57Ejl2FZ\n/gr2ogEurVrN5StKWVw+ua6YPeFe9vccYn/PQVqDHWOeY9AZkPLrWVe0mlWFy4i0PkEycJCULkSX\n/yRGkwurq37CrykYm1RKobPVO5gwEBjHzqagOIfaem06rajUeU5rZ6lwGP8rL+PbsZ14x+gvG3p7\nDq4rryJ302bMpWWTvr5AsJCZ8FcwWZYV4CFJkn6NVvD5BeAjkiT9N/BfZ7vxj8NPgEuB70uSdPuw\nAtLPAJXAd2VZTkmS9Fs0J4SvSpK0U5blzJ3l84ArfZ1xaQt0IOUNRRfrpVKMpcuoWOHi5rqJG2B2\nh3u1CKfnIO3BzjHPMegMLMtvYG3xalYXLh9hR5NT925hRTNFxKIZO5t+Wpr6icey29mUV2vtCGrq\nC3DlnnvHzmhzM96dLxB49RXU+OgpW2vdYtybtuDccAl688wZwwoE8wmdms0LBJAkaSXwL2jTWj60\n6ONnaTGwAp8A/hfauvm3gO+PMSU2Lmk37EeAt6OZkD6F1p7hbWhTbZdkCkclSfomWn3RUbQaoxXA\nzWgmpNcOE6QxeeHoq+rfTj3Hd27+EgCdXR6+9foPuLnuhrMWfHaFegYFpyM0tkm3UWdgWcES1hat\nZlXhcuwm0ZJ4qlAUlYNN/fQH49h1YIunaDnRT2erL2s7ArPFQPXiAq0dQV0BljEKfif8+rEYgb2v\n4t2xnVjz6Ix/ncWC67LLcW/agrW65pxfZ6EiEg7mJ8MSDqY8rTar+EiSdCuaxU0ATQRcaKKwC9iS\njoSQJMkBfBrN4DMG/Icsy9+bzCDSU2yfRLPIWYw21fZXNLfq/mHn6dBcFTLOCl1owvW1iTgbdPf4\n1J8c+gVfvu5TAHz6ia+Ta3Vz96oPjFkb0xnqZn/PQfb3HMouOHojy/Ml1havYlXhMmxGIThTTSQc\n53t/PMiAP4obHZ2hGGagHh26M3ogOd3WQXfosqrx7WwmQqyjA9+L2/G/vBslPLrA2FxRqVneXHYF\nBpv47LMhxGd+MlvicxAtdfmaYWaf7wD+hOZ4/Zczzs9Di0o+LsvynEzX6u0NqIqqUFqi1VJsO/LK\nKF+1jmBXOmngEF2h0db1oAnOinyJtcWrWVm4DJtxZtogXAioqkrAF6WzzUdXm4+udj9NvUHaUVmG\nDj06FFSOolKBjlx0FJc5BwUnvyjnvGuf1GSS4L438O7cTmSMMjed0Yhj/QZyN12Dtb7+gqy1mixC\nfOYn0yk+481D1AP/c8Y02vNoaWGj5hVkWfYAn5Uk6TtTO8SpZbjQrCpcjqqqtAc7ByOcrvDYSXsm\nvZEVBUs1wSlYilUIzpSQSin0dQfTQuOjq81PODRyHSWMFnbr01GOyaCnymmmsCiHv79BIsc5NSab\nib5efC/uxLfrRVKB0e4GpqJi3Ju34L7iKgzOOfn9SiCYN4wnPvuAD6RNOw8Cmek1BW2NZUzOMeV6\nxlCH1fnskH/PLk8LXeG+Mc816U2sLFjK2uJVrChYNqHWAoLxiUUTdLX7NbFp89HTGcjqmZbBDnQb\n9axYXc6K1eXkuM188/dvcvFF5ectPKqiEDp0EN+OFwi9dWh0Mahej+Oitbg3b8G+bDk6vUgMEQim\ngvHE5y60LqEPw6DzSwz4rCzLU27eOROoqkLHid8MPrf7j3KFTuUvDL1Bs97EisJlrCtezYqCpVgM\nIlvpXFFVFb83OhjVdLb5xm0/kMFsMVBS7qK00k1phZuiUgc/fuIoL7R7CebaeO1wJ/lOK6vrzr1I\nM+nz4tv1Ir4Xd5Ic6B913JiXh/vqTbiu3oQpL++cX0cgEIzNeA4HMnCRJEnr0bLdPMABWZZHl23P\nE6L+EwQjQ4HZrwIR/slpY4nFgsOtTamtKJAwC8GZNIqi8uaJXo6dHMCmqFiiSXo6/OO2HsjgdFsp\nrXRRWuGmrNJNXmHOKN+0T7xzFQeb+hkIxnn71XWsriuYsLdaBlVViRw7infndoL790FqdFq2fcVK\ncjdvIWf1GnQG4QQuEEwXZ80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1ty7D6Z6fTgTjkfT76X7wZ4QOHRzst7PuwCuUvOvdODZu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\n/wHqAc7xYi7bDQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1051777d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# yelp plot\n",
    "\n",
    "plt.grid(False, which='minor')\n",
    "plt.xscale('log')\n",
    "#plt.grid(False)\n",
    "#plt.plot(x, np.array([58.81, 72.19, 80.57, 86.30, 92.05, 95.38]), 'bo')\n",
    "\n",
    "t = np.array([0.1, 1, 10, 100])\n",
    "plt.xticks(t, [0.1, 1, 10, 100])\n",
    "\n",
    "plt.plot(x, np.array(y4), '-', label=\"LEAM\", linewidth=3)\n",
    "plt.plot(x, np.array(y1), '-', label=\"SWEM\", linewidth=3)\n",
    "plt.plot(x, np.array(y2), '-', label=\"CNN\", linewidth=3)\n",
    "plt.plot(x, np.array(y3), '-', label=\"LSTM\", linewidth=3)\n",
    "\n",
    "plt.plot(x, np.array(y1), \"o\", markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.plot(x, np.array(y2), 'o', markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.plot(x, np.array(y3), 'o', markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.plot(x, np.array(y4), 'o', markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.legend(bbox_to_anchor=(0.25, 0.45), loc=2, borderaxespad=0.2,fontsize=14)\n",
    "plt.xlabel('Proportion (%) of labeled data',fontsize=20)\n",
    "plt.ylabel('Accuracy (%)',fontsize=20)\n",
    "plt.xlim([0.095, 105])\n",
    "plt.ylim([10, 80])\n",
    "plt.tick_params(labelsize=20)\n",
    "#locs, labs = plt.xticks([0.1, 0.33, 1,3.3, 10,33,100], [0.1, '', 1,  '', 10,'',100])\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.axhline(10, linewidth=4, color=\"black\")\n",
    "ax.axvline(0.1, linewidth=2, color=\"black\")\n",
    "# legend = plt.legend(bbox_to_anchor=(0.2, 0.55), loc=2, borderaxespad=0.2,fontsize=20,frameon=True)\n",
    "# legend.get_frame().set_edgecolor('black')\n",
    "# legend.get_frame().set_linewidth(2)\n",
    "\n",
    "leg = ax.legend(fontsize = 22, frameon=True, loc='lower right')\n",
    "leg.get_frame().set_edgecolor('k')\n",
    "leg.get_frame().set_linewidth(1.5)\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels() ):\n",
    "    item.set_fontsize(20)\n",
    "\n",
    "plt.savefig('yahoo_partial.pdf',  bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1lO3zdezUndAghYVjc4rs88yX7mQ37FH0IKqKLusS+rS/NCG99if65IPozLFI0g0rVTcg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\nnzFUN6QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115738510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# yelp plot\n",
    "fig=plt.figure(figsize=(5,4.0))\n",
    "plt.grid(False, which='minor')\n",
    "plt.xscale('log')\n",
    "#plt.grid(False)\n",
    "#plt.plot(x, np.array([58.81, 72.19, 80.57, 86.30, 92.05, 95.38]), 'bo')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "stride = max( int(len(x) / 8), 1)\n",
    "stride2 = max( int(len(x) / 20), 1)\n",
    "\n",
    "plt.plot(x, np.array(y4), '-', label='LEAM', marker= 's', color='k', markevery=stride,lw=2,  mec='k', mew=1 , markersize=10)\n",
    "plt.plot(x, np.array(y2),'-', label='CNN', marker= 'o', color='r', markevery=stride,lw=2,  mec='k', mew=1 , markersize=10)\n",
    "plt.plot(x, np.array(y3),'-', label='LSTM', marker= 'v', color='orange', markevery=stride2,lw=2,  mec='k', mew=1 , markersize=10)\n",
    "plt.plot(x, np.array(y1), '-',label='SWEM', marker= 'p', color='g', markevery=stride2,lw=2,  mec='k', mew=1 , markersize=10)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "leg = plt.legend(fontsize=32, shadow=True, loc=(0.5, -0.0))\n",
    "plt.grid('on')\n",
    "\n",
    "ax = plt.gca() \n",
    "ax.yaxis.set_label_coords(-0.09, 0.5) \n",
    "ax.xaxis.set_label_coords(0.48, -0.11) \n",
    "# X-axis label\n",
    "plt.xticks( (0.1, 1, 10, 100), ( '0.1', '1', '10', '100'), color='k', size=14)\n",
    "\n",
    "# Left Y-axis labels\n",
    "plt.yticks((40, 60,  80), ('40', '60','80'), color='k', size=14)\n",
    "\n",
    "\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "\n",
    "# plt.legend(bbox_to_anchor=(0.25, 0.45), loc=2, borderaxespad=0.2,fontsize=14)\n",
    "\n",
    "plt.xlabel('Proportion (%) of labeled data',fontsize=16)\n",
    "plt.ylabel('Accuracy (%)',fontsize=16)\n",
    "plt.xlim([0.095, 105])\n",
    "plt.ylim([20, 80])\n",
    "\n",
    "plt.savefig('yahoo_partial.pdf',  bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LtfFxG94emhtBo0avRp8wfwhWK3w9tVAoXD+rhYuSdQzlZj0yqoJHWmkWMkuzas18USvU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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ca42490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"darkgrid\")\n",
    "fig, ax = plt.subplots()\n",
    "ax.loglog(x, y1, '-o', label = 'SWEM', linewidth= 2)\n",
    "ax.loglog(x, y2, '-o', label = 'CNN', linewidth= 2)\n",
    "\n",
    "ax.set_ylabel('Accuracy (%)')\n",
    "ax.set_xlabel('Proportion (%) of labeled data')\n",
    "ax.axhline(linewidth=2.5, color='k')\n",
    "ax.axvline(linewidth=2.5, color='k')\n",
    "ax.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "ax.xaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "t = np.array([0.1, 1, 10, 100])\n",
    "plt.xticks(t, [0.1, 1, 10, 100])\n",
    "\n",
    "#ax.yaxis.set_ticks(np.arange(15,75,15))\n",
    "plt.xlim([0.095, 105])\n",
    "plt.ylim([10, 80])\n",
    "plt.tick_params(labelsize=20)\n",
    "#locs, labs = plt.xticks([0.1, 0.33, 1,3.3, 10,33,100], [0.1, '', 1,  '', 10,'',100])\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.axhline(10, linewidth=4, color=\"black\")\n",
    "ax.axvline(0.1, linewidth=2, color=\"black\")\n",
    "\n",
    "leg = ax.legend(fontsize = 27, frameon=True, loc='lower right')\n",
    "leg.get_frame().set_edgecolor('k')\n",
    "leg.get_frame().set_linewidth(1.5)\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels() ):\n",
    "    item.set_fontsize(27)\n",
    "\n",
    "#plt.savefig('yahoo_partial.pdf',  bbox_inches='tight')\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_emb = [64.0467, 72.6233, 73.1317, 73.115, 73.3483, 73.305]\n",
    "x_emb = [3, 10, 30, 100, 300, 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YmFIpNC/Lly8HMue45HUpaePGjQB4eHjQp0+fPI/h5eVFz549Adi6dSupqaml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\nmaT/A+nPPW0bmy5BAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cd0ead0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.loglog(x_emb, y_emb, '-o', label = 'SWEN', linewidth= 2)\n",
    "# ax.loglog(x, y2, '-o', label = 'CNN', linewidth= 2)\n",
    "\n",
    "ax.set_ylabel('Accuracy (%)')\n",
    "ax.set_xlabel('Embedding size')\n",
    "ax.axhline(linewidth=2.5, color='k')\n",
    "ax.axvline(linewidth=2.5, color='k')\n",
    "ax.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "ax.xaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "\n",
    "plt.ylim([50,80])\n",
    "ax.yaxis.set_ticks(np.arange(50,100,10))\n",
    "\n",
    "leg = ax.legend(fontsize = 27, frameon=True, loc='lower right')\n",
    "leg.get_frame().set_edgecolor('k')\n",
    "leg.get_frame().set_linewidth(1.5)\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels() ):\n",
    "    item.set_fontsize(27)\n",
    "\n",
    "plt.savefig('yahoo_emb.pdf',  bbox_inches='tight')\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "s1 = [50.66, 54.29, 59.64, 63.95, 74.57, 83.80]\n",
    "s2 = [44.16, 46.82, 53.86, 55.86, 66.64, 81.7]\n",
    "s3 = [45.21, 47.11, 54.86, 56.85, 67.81, 78.02]\n",
    "s = [0.1, 0.2, 0.6, 1,10,100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aYSaf5/ydM1XFdteJDozkJrGE+aNm4+Xed/LrF154gTffdEgfpFB0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\nDMMwDMMwDMMwDMMwDCO/+X8DpT6YBqrlnAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10baab350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# yelp plot\n",
    "\n",
    "plt.grid(False, which='minor')\n",
    "plt.xscale('log')\n",
    "#plt.grid(False)\n",
    "#plt.plot(x, np.array([58.81, 72.19, 80.57, 86.30, 92.05, 95.38]), 'bo') \n",
    "\n",
    "t = np.array([0.1, 1, 10, 100])\n",
    "plt.xticks(t, [0.1, 1, 10, 100])\n",
    "\n",
    "plt.plot(s, np.array(s1), '-', label=\"SWEM\", linewidth=3)\n",
    "plt.plot(s, np.array(s2), '-', label=\"CNN\", linewidth=3)\n",
    "plt.plot(s, np.array(s3), '-', label=\"LSTM\", linewidth=3)\n",
    "plt.plot(s, np.array(s1), \"o\", markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.plot(s, np.array(s2), 'o', markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.plot(s, np.array(s3), 'o', markersize=5, \n",
    "         markeredgewidth=1, markerfacecolor='None')\n",
    "plt.legend(bbox_to_anchor=(0.25, 0.45), loc=2, borderaxespad=0.2,fontsize=14)\n",
    "plt.xlabel('Proportion (%) of labeled data',fontsize=20)\n",
    "plt.ylabel('Accuracy (%)',fontsize=20)\n",
    "plt.xlim([0.095, 105])\n",
    "plt.ylim([35, 85])\n",
    "plt.tick_params(labelsize=20)\n",
    "#locs, labs = plt.xticks([0.1, 0.33, 1,3.3, 10,33,100], [0.1, '', 1,  '', 10,'',100])\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.axhline(35, linewidth=4, color=\"black\")\n",
    "ax.axvline(0.1, linewidth=2, color=\"black\")\n",
    "# legend = plt.legend(bbox_to_anchor=(0.2, 0.55), loc=2, borderaxespad=0.2,fontsize=20,frameon=True)\n",
    "# legend.get_frame().set_edgecolor('black')\n",
    "# legend.get_frame().set_linewidth(2)\n",
    "\n",
    "leg = ax.legend(fontsize = 22, frameon=True, loc='lower right')\n",
    "leg.get_frame().set_edgecolor('k')\n",
    "leg.get_frame().set_linewidth(1.5)\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels() ):\n",
    "    item.set_fontsize(20)\n",
    "\n",
    "plt.savefig('snli_partial.pdf',  bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FXXMXlXXtVNS3+9zotrunnx2V5hd/anKCdZ8v3TP0WZA9eJlDLGjqbkY3bmdr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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b9d8b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.loglog(s, s1, '-o', label = 'SWEN', linewidth= 2)\n",
    "ax.loglog(s, s2, '-o', label = 'CNN', linewidth= 2)\n",
    "\n",
    "ax.set_ylabel('Accuracy (%)')\n",
    "ax.set_xlabel('Proportion (%) of labeled data')\n",
    "ax.axhline(linewidth=2.5, color='k')\n",
    "ax.axvline(linewidth=2.5, color='k')\n",
    "ax.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "ax.xaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "\n",
    "ax.yaxis.set_ticks(np.arange(10,100,20))\n",
    "\n",
    "\n",
    "leg = ax.legend(fontsize = 27, frameon=True, loc='lower right')\n",
    "leg.get_frame().set_edgecolor('k')\n",
    "leg.get_frame().set_linewidth(1.5)\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels() ):\n",
    "    item.set_fontsize(27)\n",
    "\n",
    "plt.savefig('snli_partial.pdf',  bbox_inches='tight')\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ys_emb = [66.419, 79.204, 79.4992, 79.4992, 82.9703]\n",
    "s_emb = [3, 10, 30, 100, 300]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iRamKFClvSamZLP7Z0h9pVH/1RxIRqYhsCjE7d+4EoGfPnsUa36tXLwB27dpl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\nIUQp/Q8PgEx+ym7eQwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c614710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.loglog(s_emb, ys_emb, '-o', label = 'SWEN', linewidth= 2)\n",
    "# ax.loglog(x, y2, '-o', label = 'CNN', linewidth= 2)\n",
    "\n",
    "ax.set_ylabel('Accuracy (%)')\n",
    "ax.set_xlabel('Embedding size')\n",
    "ax.axhline(linewidth=2.5, color='k')\n",
    "ax.axvline(linewidth=2.5, color='k')\n",
    "ax.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "ax.xaxis.set_major_formatter(FormatStrFormatter('%.0f'))\n",
    "\n",
    "plt.ylim([60,90])\n",
    "ax.yaxis.set_ticks(np.arange(60,90,10))\n",
    "\n",
    "leg = ax.legend(fontsize = 27, frameon=True, loc='lower right')\n",
    "leg.get_frame().set_edgecolor('k')\n",
    "leg.get_frame().set_linewidth(1.5)\n",
    "for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +\n",
    "             ax.get_xticklabels() + ax.get_yticklabels() ):\n",
    "    item.set_fontsize(27)\n",
    "\n",
    "plt.savefig('snli_emb.pdf',  bbox_inches='tight')\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gvr5e1Uq15fIGNQx2IiIiT/zaea7pznA2mw2yLKtWIW84FE9EROSdzzn2uXPn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\nRERhhMFOREQURhjsREREYeT/AUVQoieFQPbrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10be36250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(x,y1,'-^', label='SWEM',)\n",
    "plt.plot(x,y2,'-^', label='CNN')\n",
    "plt.legend(loc='lower right')\n",
    "plt.xlabel('Percentage', )\n",
    "plt.ylabel('Accuracy')\n",
    "fig = plt.gcf()\n",
    "# fig.set_size_inches(18.5, 10.5)\n",
    "# font = {'size'   : 5000}\n",
    "matplotlib.rc('font', **font)\n",
    "fig.savefig('percentage_plot.png', dpi=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
